Intelligent Protection: How Artificial Intelligence Improves Security and Fights Fraud in Mobile Apps
Keeping mobile applications secure is an ongoing challenge. As digital platforms grow, so do fraud attempts, such as the creation of fake accounts and unauthorized access. This not only reduces user trust but also puts their personal and financial information at risk.
To address these challenges, artificial intelligence security provides tools that improve authentication and identity verification. Thanks to AI, it is possible to detect impersonation attempts, analyze behavioral patterns, and enhance security without compromising user experience.
AI security: Identity Verification and Fake Account Prevention
One of the biggest challenges in mobile apps is confirming that new users are real people and not fake accounts created with malicious intent. AI-powered tools analyze images, verify identity documents, and detect impersonation attempts with high precision.
Onfido
Onfido combines document verification with AI-powered facial recognition. Its system analyzes passports, ID cards, and other official documents to confirm authenticity and compare them with a real-time user photo.
Additionally, it detects deepfakes and digital manipulations, preventing increasingly sophisticated impersonation attempts. It easily integrates into mobile applications, enhancing security without complicating the registration process.
Jumio
Jumio is an identity verification solution that authenticates users using AI and biometrics. It analyzes identity documents, compares faces, and verifies in real time that the user is a real person through liveness detection. Supporting more than 5,000 document types across over 200 countries, it helps banking, fintech, and e-commerce businesses comply with KYC and AML regulations, reducing fraud in registrations and digital transactions.
Improving Security with AI: Intelligent Authentication and Login Fraud Protection
Protecting user accounts from unauthorized access is a top priority in mobile apps. Traditional passwords are no longer sufficient, as they can be stolen or reused across multiple services. AI-driven solutions analyze, in real time, who is attempting to log in, ensuring they are the actual account owner.
Okta Adaptive MFA
Okta Adaptive MFA is a risk-based authentication solution that uses contextual analysis (location, device, user behavior) to determine when additional verification factors are required. It supports biometric methods, push notifications, and hardware tokens, integrating seamlessly with both cloud and on-premise applications. Its adaptive approach minimizes friction for legitimate users while preventing unauthorized access.
Microsoft Entra ID (formerly Azure Active Directory)
Microsoft Entra ID is a cloud-based identity and access management service. It provides Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Conditional Access policies to control access to corporate applications and data. It integrates with Office 365, Azure, and third-party services, offering a centralized credential management model with adaptive security.
Google Cloud Identity & Access Management
Google Cloud IAM is a service for defining and enforcing roles and permissions across Google Cloud resources. It centralizes user, group, and service account management, supporting authentication methods such as SSO and MFA. Its AI-driven granular permissions model enhances access control to specific resources, helping maintain security and compliance.
Behavioral Analytics with AI in Mobile Apps
Traditional authentication methods, such as passwords or verification codes, can be vulnerable to attacks and impersonation. However, each user has a unique way of interacting with their device—from how they type to how they tap or swipe the screen. Artificial Intelligence (AI) can analyze these behavioral patterns to detect fraudulent access attempts without requiring additional steps from the user.
BioCatch
BioCatch analyzes how a user interacts with an application to determine if they are truly who they claim to be. AI security system evaluates hundreds of parameters in real time, such as typing speed, screen pressure, and cursor movement.
This technology is especially useful for detecting fraud without disrupting the user experience. Instead of requiring additional verifications, BioCatch detects suspicious activity and only triggers alerts when necessary. This allows businesses to reduce the risk of unauthorized access without adding friction to authentication processes.
TypingDNA
TypingDNA uses typing pattern analysis to authenticate users discreetly. Each person has a unique way of typing, and this AI solution can detect whether the person entering a password is the legitimate account owner or a potential intruder.
It’s a great option for platforms looking to enhance security without being intrusive. With TypingDNA, authentication can be strengthened without requiring additional verification codes or facial recognition, making it an efficient and user-friendly alternative.
Intelligent Cybersecurity: Less Risk, More Trust
Keeping mobile apps secure is essential to protect both users and businesses. Artificial intelligence security offers advanced solutions that enable identity verification, secure authentication, and accurate detection of suspicious behavior, reducing fraud and preventing the creation of fake accounts.
Finding the right balance between security and ease of use is crucial. Traditional methods like passwords are no longer enough, but overly complex authentication processes can frustrate users. With AI, you can enhance security seamlessly, allowing real users to access their accounts quickly and safely.
If you’re ready to take the next step and build your secure mobile app, contact our development team—we’ll be happy to assist you!
